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QUESTION: Prepare an 8-10 page analytics report based on the analysis you completed in Assessment 2. In the report, analyze the business issue, summarize the methods you have chosen to analyze the data, create five descriptive statistical techniques, and complete one inferential statistical technique to estimate, test, or predict something. RESOURCES: Nussbaumer Knaflic, C. (2015). Storytelling with data: A data visualization guide for business professionals. Hoboken, NJ: John Wiley and Sons. Chapter 1, “The Importance of Context.”Watson, H. J. (2017). Data visualization, data interpreters, and storytelling. Business Intelligence Journal, 22(1), 5–10.Hewitt, F. (2015). Storytelling: The heart of leadership.​ New Zealand Management, 62(1), 26–27.Stikeleather, J. (2013, April 24). How to tell a story with data. Harvard Business Review. Retrieved from https://hbr.org/2013/04/how-to-tell-a-story-with-d… Business Review. INSTRUCTIONS: Your manager has requested an analysis comparing your state and another state in order to determine the best location for the headquarters of the moving company for which you work. Prepare an analytics report of 8–10 pages. Your analytics report should contain the following: Section I Business Question (or other appropriate heading)Section II Data Analysis Techniques and MethodsSection III Descriptive Statistical AnalysisSection IV Inferential Statistical Analysis Analyze the business question or problem.Explain the business problem your analysis is attempting to address and how it will do so.Summarize the methods you have selected to analyze the data.Be sure to support your selections with examples from previous applications (experience) and your research. You must justify all of your techniques, including the descriptive and inferential techniques, but justifying and supporting descriptive techniques may be as simple as explaining why it is the most appropriate graph, chart, or summary method for your data.Using the data set you downloaded in Assessment 2, create 5 descriptive statistical techniques.These may be graphs, charts, or numeric summaries but must be appropriate for the type of data and must assist in addressing the business question or problem.Copy/paste the graphs, charts, or summaries from Excel into your document.Remember that there are different options based on the data type (qualitative versus quantitative data) and that other considerations must be taken when choosing the appropriate descriptive techniques for a particular type of data. Use the data set you downloaded to complete one inferential statistical technique to estimate, test, or predict something using the inferential statistical methods you learned in this course. The method you choose should be based on your work in Assessment 2.Support your choice of method using prior analytic project experience and/or your own research.Within this section include:Assumptions: All assumptions required to use the technique you selected should be checked and explained (when there is no way to validate or check that the assumption is met). Any assumptions that may not be met should be included in your cautions and limitations of your analysis.Results: Guidance on when, where, and with whom the results of your analysis should be used should be included in your generalizations section and should be based on the source of the data, data collection methods (if any are provided with your business scenario), and potential issues with how and when the data was collected, recorded, and so on.Conclusions: Your conclusion should restate the business question or problem, identify the methods used (both descriptive and inferential methods), and summarize the results and findings (in business language).Cautions, Limitations: Your cautions and limitations should include any potential issues or limitations in using your analysis due to the assumptions not being met or being minimally met.Generalizations: Your generalizations should include notes about when and how the results of your analysis should and should not be used, specifically focusing on the contents of the data set you have analyzed. Deliverable Format The analytics report is a professional document and should therefore follow the corresponding MBA Academic and Professional Document Guidelines, using double-spaced paragraphs. Write for management or other analysts. You must also include: 8–10 pages in length, not including the title page, references page, or abstract.Title page.Abstract (optional).References page.At least 3 supporting resources.APA-formatted references.Appendices for graphs, charts, and summaries if you prefer, rather than including them in the text of your report.
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3/8/2019
Reporting on Results of Analysis Scoring Guide
Reporting on Results of Analysis Scoring Guide
CRITERIA
NON-PERFORMANCE
BASIC
PROFICIENT
DISTINGUISHED
Analyze the business
question.
Does not analyze the
business question.
Identifies the business
question.
Analyzes the business
question.
Analyzes the business question in a
manner that demonstrates a thorough
understanding of the business question
and the data needed to address it.
Summarize the descriptive
and inferential statistical
techniques used.
Does not summarize the Identifies the descriptive and
descriptive and inferential inferential statistical
statistical techniques
techniques used.
used.
Summarizes the
descriptive and
inferential statistical
techniques used.
Summarizes the descriptive and
inferential statistical techniques used and
supports selections with examples and
other evidence.
Create descriptive
statistical techniques
appropriate for the type of
data used.
Does not create
descriptive statistical
techniques appropriate
for the type of data used.
Creates descriptive statistical
techniques, but the
techniques are not
appropriate for the type of
data used.
Creates descriptive
statistical techniques
appropriate for the type
of data used.
Creates descriptive statistical techniques
appropriate for the type of data used and
explains how the techniques will
effectively address the business question.
Complete inferential
statistical techniques that
are appropriate for the data
used and address the
business question.
Does not complete
inferential statistical
techniques that are
appropriate for the data
used and address the
business question.
Completes inferential
statistical techniques, but the
techniques are not
appropriate for the data used
and do not address the
business question.
Completes inferential
statistical techniques
that are appropriate for
the data used and
address the business
question.
Completes inferential statistical
techniques that are appropriate for the
data used and address the business
question. Explains why the techniques are
appropriate and supports with relevant
evidence.
Explain any assumptions,
cautions, limitations, and
generalizations.
Does not explain any
assumptions, cautions,
limitations, and
generalizations.
Identifies assumptions,
cautions, limitations, and
generalizations.
Explains any
assumptions, cautions,
limitations, and
generalizations.
Analyzes any assumptions, cautions,
limitations, and generalizations.
Explain the results of the
analysis and how the
analysis addresses the
business question.
Does not explain the
results of the analysis
and how the analysis
addresses the business
question.
Explains the results of the
analysis but the explanation
does not address how the
analysis relates to the
business question.
Explains the results of
the analysis and how
the analysis addresses
the business question.
Explains the results of the analysis and
how the analysis addresses the business
question. Includes a discussion about
when, where, and on whom the results
should be used.
Correctly format citations
and references using
current APA style.
Does not correctly format
citations and references
using current APA style.
Uses current APA to format
citations and references but
with numerous errors.
Correctly formats
Correctly formats citations and references
citations and references using current APA style with no errors.
using current APA style
with few errors.
https://courserooma.capella.edu/bbcswebdav/institution/MBA-FPX/MBA-FPX5008/181000/Scoring_Guides/u03a1_scoring_guide.html
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3/8/2019
Reporting on Results of Analysis Scoring Guide
CRITERIA
NON-PERFORMANCE
BASIC
PROFICIENT
DISTINGUISHED
Write content clearly and
logically with correct use of
grammar, punctuation, and
mechanics.
Does not write content
clearly, logically, or with
correct use of grammar,
punctuation, and
mechanics.
Writes with errors in clarity,
logic, grammar, punctuation,
and/or mechanics.
Writes content clearly
and logically with
correct use of grammar,
punctuation, and
mechanics.
Writes clearly and logically with correct
use of spelling, grammar, punctuation,
and mechanics; uses relevant evidence to
support a central idea.
https://courserooma.capella.edu/bbcswebdav/institution/MBA-FPX/MBA-FPX5008/181000/Scoring_Guides/u03a1_scoring_guide.html
2/2

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